Evidence map›Paper›PMID 38205626›Full record

ArticleGlobal health action2024

Electronic health record and primary care physician self-reported quality of care: a multilevel study in China.

Wenhua Wang, Mengyao Li, Katya Loban, Jinnan Zhang, Xiaolin Wei, Rebecca Mitchel

Abstract read
In one paragraph

Article in Global health action, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wenhua WangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, PR China.
Mengyao LiSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, PR China.
Katya LobanResearch Institute of the McGill University Health Centre, McGill University, Montreal, Canada.
Jinnan ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, PR China.
Xiaolin WeiDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Rebecca MitchelHealth and Wellbeing Research Unit (HoWRU), Macquarie Business School, Macquarie University, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth information technology is one of the building blocks of a high-performing health system. However, the evidence regarding the influence of an electronic health record (EHR) on the quality of care remains mixed, especially in low- and middle-income countries.

objectiveThis study examines the association between greater EHR functionality and primary care physician self-reported quality of care.

methodsA total of 224 primary care physicians from 38 community health centres (CHCs) in four large Chinese cities participated in a cross-sectional survey to assess CHC care quality. Each CHC director scored their CHC's EHR functionality on the availability of ten typical features covering health information, data, results management, patient access, and clinical decision support. Data analysis utilised hierarchical linear modelling.

resultsThe availability of five EHR features was positively associated with physician self-reported clinical quality: share records online with providers outside the practice (β = 0.276,

conclusionsThis study provides evidence that the availability of EHR systems, and specific features of these systems, was positively associated with physician self-reported quality of care in these 38 CHCs. Future longitudinal studies focused on standardised quality metrics, and designed to control known confounding variables, will further inform quality improvement efforts in primary care.

Indexed as

Electronic Health RecordsPhysicians, Primary CareChinaCross-Sectional StudiesHumansSelf Reportclinical qualityElectronic health recordhealth information technologyprimary carequality of care

Identifiers

PMID38205626
PMCPMC10786430

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.